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The carbon footprint of the carbon feedstock CO2

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jan 2020Embargo end date: 01 Sep 2020 Switzerland, Germany, Switzerland, United Kingdom, Germany, Germany, United States Publisher:Royal Society of Chemistry (RSC)Journal:Energy & Environmental Science, volume 13, pages 2,979-2,992 (issn: 1754-5692, eissn: 1754-5706,

Authors: André Bardow; André Bardow; André Bardow; Sangwon Suh; Jay H. Lee; Arne Kätelhön; Simon Kaiser; +8 Authors

doi: 10.1039/d0ee01530j , 10.18154/rwth-2020-08276 , 10.3929/ethz-b-000443808

The carbon footprint of the carbon feedstock CO2

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Abstract

This paper reviews methodological approaches for determining the carbon footprint of captured CO2 as carbon feedstock, and shows why some approaches lead to suboptimal choices of CO2 sources and that increased consistency in life cycle assessment (LCA) studies on CCU is needed.

Countries

Switzerland, Germany, Switzerland, United Kingdom, Germany, Germany, United States

Related Organizations

University of Calgary
Canada
Kasetsart University
Thailand
Forschungszentrum Jülich
Germany
University of California, Santa Barbara
United States
Forschungszentrum Jülich GmbH
Germany

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Keywords

690, Energy, info:eu-repo/classification/ddc/690, 333, Climate Action, Responsible Consumption and Production

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	130
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 1%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%